samsung SM-S938N
Geekbench AI Score
1507
Single Precision Score
1727
Half Precision Score
2539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 05:11 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S938N |
| Model ID | samsung SM-S938N |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (HP)
|
100% |
925
172.1 IPS |
|
|
Image Classification (Q)
|
100% |
3753
698.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2276
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
981
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2193
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2120
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
5130
5.99 IPS |
|
|
Pose Estimation (Q)
|
84% |
7907
9.38 IPS |
|
|
Object Detection (SP)
|
98% |
531
42.3 IPS |
|
|
Object Detection (HP)
|
98% |
816
64.9 IPS |
|
|
Object Detection (Q)
|
83% |
1005
81.2 IPS |
|
|
Face Detection (SP)
|
100% |
2600
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (Q)
|
95% |
6367
76.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1671
12.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3920
30.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4482
41.1 IPS |
|
|
Style Transfer (SP)
|
89% |
10371
13.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9334
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
14423
18.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1287
47.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
971
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2381
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
177
235.8 IPS |
|
|
Text Classification (HP)
|
99% |
546
728.5 IPS |
|
|
Text Classification (Q)
|
88% |
447
603.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1250
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1241
21.4 IPS |
|
|
Machine Translation (Q)
|
50% |
390
13.8 IPS |
